[1]}  church1990word proposed the use of pointwise mutual information (PMI) for mining patterns via text co-occurrence. Many works have followed this strategy, e.g.  [2]}, [3]}, [4]}, [5]}, [6]}. Others have mined patterns via discourse patterns in the form of `A led to B', `if A then B', etc., e.g., [7]}, [8]}, [9]}).
See [10]} asghar2016automatic for review. Such efforts relate most closely to our CEGraph component, rather than our overall framework. Our concern is the generation of diverse potential causes and effects as natural language statemnts.
